This role is for one of our clients

Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 5+ years

Location: Bengaluru

JobType: full-time

₹28,00,000 - ₹85,00,000 a year

We are looking for a Machine Learning Engineer to build and operate the production infrastructure that transforms machine learning research into scalable, reliable, and low-latency AI services. You will partner closely with Applied Science, Product, and Platform Engineering teams to operationalize machine learning models, LLM-powered applications, and agentic workflows that power real-world enterprise products.

This role focuses on building production-ready ML systems, developing MLOps infrastructure, and ensuring AI services are secure, observable, cost-efficient, and highly available. You'll play a key role in enabling both traditional machine learning models and up-to-date generative AI applications to move seamlessly from experimentation into production.

Requirements

Key Responsibilities

Production Machine Learning Systems





Convert prototype machine learning models into production-grade, scalable services with well-defined API interfaces.
Deploy and optimize models across various domains including predictive analytics, recommendation systems, forecasting, NLP, and generative AI.
Refactor, containerize, version, deploy, and continuously monitor machine learning models for production readiness.
Collaborate with Applied Science teams to improve model performance, scalability, and operational efficiency.

LLM & Agentic AI Infrastructure

Integrate AI applications with enterprise LLM gateways, model routing systems, and prompt management frameworks.
Support retrieval-augmented generation (RAG), vector search, and knowledge retrieval architectures.
Build and maintain agentic AI workflows, orchestration frameworks, and safe execution patterns.
Implement prompt versioning, experimentation, A/B testing, dynamic orchestration, and AI safety guardrails.

MLOps & Platform En

📌 Machine Learning Engineer (Bengaluru)
🏢 Weekday`
📍 Bengaluru